Tracking Audit & Reconciliation
A full event inventory across GA4, Meta, Google Ads, Klaviyo and Shopify, reconciled against order data to quantify exactly where and how much data is lost.
Albuquerque, NM
Analytics, Tracking & Data in Albuquerque
Most Albuquerque brands do not have a dashboard problem — they have three revenue channels that have never been added together correctly.
Delivered remotely for brands across Albuquerque and New Mexico.
Scale · Albuquerque
Why Albuquerque brands come to us for this
- Shopify POS market and retail sales joined to online profiles so LTV covers your actual customer base
- Wholesale, DTC and in-person reported side by side at their real margins instead of blended into one line
- Growth measured by harvest cohort, not by calendar month, so seasonality stops faking trends
- Gross receipts tax reconciliation designed between Shopify, accounting and your CRS-1 filing
- Contribution margin calculated after freight and insulated packaging, which is where NM profit hides
A New Mexico brand's revenue usually arrives through three doors: online orders, in-person sales at markets and retail, and wholesale accounts across the region. Each one lives in a different system, gets counted differently, and nobody has ever reconciled them into a single view of what a customer is worth.
Then seasonality distorts everything on top. Year-over-year comparisons are meaningless when a two-week shift in the harvest moves a million dollars of orders across a month boundary. Monthly reporting flatters and panics in turn, and decisions get made on noise.
We rebuild the measurement layer to match how the business actually runs. Server-side tracking through a first-party endpoint, a documented GA4 event schema, Conversions API with real match quality, and reporting cut by season and cohort rather than by calendar month — because the question that matters is whether this harvest's buyers are worth more than last harvest's.
Local context
Season cohorts, three channels, and a tax that does not behave like sales tax
Reporting for an Albuquerque brand has to solve three things that a single-channel coastal DTC brand never encounters. First, Shopify POS transactions from markets and retail have to join the same customer record as online orders, or your LTV numbers are wrong for the majority of your customer base. Second, wholesale revenue needs to sit alongside DTC without being blended into it, since the margin profiles are not comparable. Third, New Mexico's gross receipts tax is levied on the seller and sourced to the delivery destination, so it behaves differently in your P&L than sales tax does in your dashboards — revenue reconciliation between Shopify, your accounting system and the CRS-1 filing needs to be designed rather than discovered in April. On top of that we cut every growth number by harvest cohort instead of by month, because comparing September to August in this market tells you about the weather in the Hatch valley, not about your marketing.
Scope
What Analytics & Data includes
The same standard of work we run for every client — applied to a Albuquerque brand’s realities.
Full service detailServer-Side Tracking
Server-side GTM on a first-party subdomain, resilient to ad blockers and ITP, with deduplication between browser and server events done properly.
Conversions API Integration
Meta CAPI, Google Enhanced Conversions and TikTok Events API with hashed identifiers, targeting event match quality of 8 or above.
GA4 Event Schema
A documented, consistent eCommerce event and parameter specification across every surface, so reports mean the same thing in six months as they do today.
Consent Mode & Privacy
Consent mode v2 wired to your CMP with modelled conversions, plus Shopify's customer privacy API and regional compliance handled correctly.
Executive Reporting Layer
One dashboard for blended MER, contribution margin, cohort LTV, new-versus-returning revenue and channel payback. Reconciled to Shopify, refreshed daily.
Scoped and quoted for your Albuquerque store
We do not work off a rate card. Every Albuquerque engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedHow it runs
From kickoff to results
Audit & Quantify
We measure the gap between platform-reported and actual orders per channel. Most stores we audit are losing 15-30% of conversion signal before we start.
Specification
A written measurement plan: events, parameters, identifiers, consent states and destinations. Signed off before implementation begins.
Implement
Server-side container, CAPI, enhanced conversions and consent mode built in a staging environment and validated event by event.
Validate
Order-level reconciliation against Shopify for a full week, plus match-quality checks in each platform. We do not sign off on a screenshot of a tag firing.
Report & Maintain
Dashboards built, team trained, and monitoring in place to alert on event volume anomalies before someone spots them in a monthly report.
Proof
Analytics & Data results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Consumer Electronics & Accessories
~$9M/yr, 210 SKUs, US + AU · Shopify Plus (migrated from BigCommerce)
Meta ROAS had slid from 3.6x to 1.9x in a year and the team had spent twelve months buying new creative to fix it. The real cause was measurement: the BigCommerce checkout dropped 22% of purchase events and the Conversions API had never been installed, so both ad platforms were optimising on incomplete data. The named constraint: peak season was 14 weeks out, and the replatform had to be live and stable well before Black Friday traffic arrived.
1.9x → 3.4xMeta ROAS, once the 22% event gap closed60 days after server-side tracking went live, spend up 18%. Most of that is signal we recovered, not performance we invented — the honest number is the blended CAC below, which is measured against Shopify orders
-32%customer acquisition cost$44 to $30 blended across Meta and Google
4.1s → 1.7smobile LCPdesktop went 2.9s to 1.2s over the same window
+47%peak-season revenueBlack Friday through Cyber Monday, year over year
In their words
Clients on this work
GA4/Shopify gap 14% → under 2%
“Paid audit, and worth every dollar. Forty pages on where our measurement was lying to us — duplicate purchase events, CAPI never configured, GA4 and Shopify off by 14% — each one ranked by the revenue it was hiding. No pitch deck at the end. We fixed six of the items ourselves before we ever signed a retainer.”
FounderHome goods brand, ~$3M/yr · Denver, CO
Verified client, 2026FAQ
Analytics & Data in Albuquerque — your questions
Usually because customer identity is not shared, discounts and tips are recorded differently, and returns processed in person do not write back the way you assume. We map every event across POS, online and your accounting system, reconcile against actual order data, then document which system owns which record. That last step is the one everyone skips.
By cohort and by season, not by month. We define your season windows against real order data, compare like-for-like periods across years, and track cohort revenue from the harvest a customer first bought in. A month-over-month dashboard in this market generates panic in November and complacency in June, both for no reason.
It affects reconciliation more than tracking. GRT is a tax on the seller sourced to the delivery destination, so it does not sit in your books the way a collected sales tax does, and rates differ across a lot of local jurisdictions. We build the reporting so the number Shopify shows, the number your accounting software shows and the number on your CRS-1 can be tied together deliberately.
If you spend meaningfully on paid media, yes — match quality directly determines how well the platforms optimise, and improvements there often lift measured performance by double digits. If you barely advertise, a clean GA4 event schema and honest reconciliation gets you most of the value for far less. We will tell you which case you are in before quoting.
Four to six weeks for a typical Shopify store, including the validation week. Complex setups with subscriptions, multiple markets or a headless front end run six to ten. The audit and specification phase takes about a third of that and is the part that determines quality.
Yes. We use Shopify's Web Pixels API and customer events for checkout tracking, which is the supported path since checkout.liquid was retired. Order-level data comes through the server side, so checkout tracking no longer depends on scripts Shopify will not let you inject.
Consent mode v2 is part of every implementation, wired to your CMP and to Shopify's customer privacy API. Denied-consent traffic sends cookieless pings that feed modelled conversions, so you keep directional reporting without processing data you do not have permission for.
Next step
Analytics & Data for your Albuquerque brand.
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.